Effects of new variables on the overtopping discharge at steep rubble mound breakwaters — The Zeebrugge case

Geeraerts, J.; Kortenhaus, Andreas; González-Escrivá, Jose A.; Rouck, Julien De; Troch, Peter

doi:10.1016/j.coastaleng.2008.03.013

Cited by 14 publications

(4 citation statements)

References 1 publication

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“…The prototype measurements show overtopping discharges that are a factor 1 to 7 of the scaled model results with largest differences for small overtopping discharges. Geeraerts et al (2008) also presented results from the UPV model tests with wind. These tests showed that in a small scale model (1:30) wind velocities of 5-7 m/s may easily increase small overtopping discharges by a factor five.…”

Section: Prototype Measurements and The Effect Of Windmentioning

confidence: 98%

“…The prototype overtopping measurements from Zeebrugge were reproduced in two laboratories, Leichtweiss-Institute for Hydraulics (LWI) and Universidad Politécnica de Valencia (UPV) (Geeraerts et al, 2008). In these tests the measured prototype spectra were reproduced as accurate as possible in the model, with matching of the power spectrum but not the phase spectrum, i.e.…”

Section: Prototype Measurements and The Effect Of Windmentioning

confidence: 99%

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Comparison of new large and small scale overtopping tests for rubble mound breakwaters

Andersen

Burcharth

Gironella

2011

Coastal Engineering

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Section: Prototype Measurements and The Effect Of Windmentioning

confidence: 98%

Section: Prototype Measurements and The Effect Of Windmentioning

confidence: 99%

Comparison of new large and small scale overtopping tests for rubble mound breakwaters

Andersen

Burcharth

Gironella

2011

Coastal Engineering

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“…The same port was also studied in a later work [24]. A similar method was used to study the Zeebrugge port in Belgium [25].…”

Section: Overtopping: In Situ Measuringmentioning

confidence: 99%

Deep Learning-Based Wave Overtopping Prediction

Alvarellos,

Figuero,

Rodríguez-Yáñez

et al. 2024

Applied Sciences

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This paper analyses the application of deep learning techniques for predicting wave overtopping events in port environments using sea state and weather forecasts as inputs. The study was conducted in the outer port of Punta Langosteira, A Coruña, Spain. A video-recording infrastructure was installed to monitor overtopping events from 2015 to 2022, identifying 3709 overtopping events. The data collected were merged with actual and predicted data for the sea state and weather conditions during the overtopping events, creating three datasets. We used these datasets to create several machine learning models to predict whether an overtopping event would occur based on sea state and weather conditions. The final models achieved a high accuracy level during the training and testing stages: 0.81, 0.73, and 0.84 average accuracy during training and 0.67, 0.48, and 0.86 average accuracy during testing, respectively. The results of this study have significant implications for port safety and efficiency, as wave overtopping events can cause disruptions and potential damage. Using deep learning techniques for overtopping prediction can help port managers take preventative measures and optimize operations, ultimately improving safety and helping to minimize the economic impact that overtopping events have on the port’s activities.

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“…However, Eulerian numerical methods usually require expensive mesh generation and have severe technical challenges associated with the nonlinearities associated with rapidly moving geometries. On the other hand, meshless schemes provide an alternative to the most established meshbased methods and meshfree methods, such as Monte Carlo methods (Geeraerts et al 2009) or the particle finite element method (PFEM) (Oñate et al 2011), are gaining popularity. Within the meshless methods now available, smoothed particle hydrodynamics (Violeau 2012) is, possibly, the most popular and is attaining the required level of maturity to be used for engineering purposes.…”

Section: Introductionmentioning

confidence: 99%

Quasi-static mooring solver implemented in SPH

Barreiro

Crespo

Domínguez

et al. 2016

J. Ocean Eng. Mar. Energy

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The correct simulation of moored floating objects is key to save time and money in the design stage of new offshore devices. DualSPHysics is a graphics processing unit implementation of the weakly compressible smoothed particle hydrodynamics (SPH) method successfully validated with different free-surface problems and already applied to real engineering problems with accuracy, reliability and high performance. A new implementation to simulate the behaviour of moored lines is presented for SPH models. This new approach allows reproducing the forces on floating bodies, such as vessels, boats, wave energy devices and other offshore structures moored to the seabed. More precisely, the implementation is focused on continuous ropes and wires that can be described by the catenary function. Some validations are provided for floating bodies and moored lines showing good agreement with experiments and other numerical solutions. Finally, a working case of a wind turbine base moored by three lines is simulated to show the capabilities of the code.

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Effects of new variables on the overtopping discharge at steep rubble mound breakwaters — The Zeebrugge case

Cited by 14 publications

References 1 publication

Comparison of new large and small scale overtopping tests for rubble mound breakwaters

Comparison of new large and small scale overtopping tests for rubble mound breakwaters

Deep Learning-Based Wave Overtopping Prediction

Quasi-static mooring solver implemented in SPH

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